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Why did Tether invest in Plasma? Because most blockchains are still chasing hype instead of solving real problems, too many are optimized for fast meme coin listings instead of usability. But the real-world utility of USDT proves something deeper: if you build tools that work for people, they’ll use...

60,894 views • 9 months ago •via X (Twitter)

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🌆 Digital Evidence, Real Estate, and the Next Wave of Real-World Adoption Dave Berg, CPO at Constellation, breaks down how they are building real onchain infrastructure that solves real problems. Not hypothetical use cases. Not hype cycles. Actual products people can use right now. 1. Digital Evidence. Authenticity for the internet. Constellation is anchoring digital fingerprints of files, images, documents, and data streams directly onto the network. Why does this matter? Because in a world filled with AI content, fake screenshots, edited PDFs, and manipulated media, proving the origin of information is becoming one of the most valuable capabilities we have. Developers and non developers can use simple APIs, or even vibe code with AI tools like Claude, to anchor and verify data instantly. Everyday users can anchor real-world data right now onto Constellation network with zero blockchain knowledge, using devices they already use every single day. 2. Proof of Management for real assets. This leads into what might be one of the most practical DLT products released in years. Real Estate Ledger. A digital guidebook for any property: • Permits • Warranties • Proof of maintenance • Vendor history • Manuals • Insurance • Improvements • Receipts • Photos Everything tied to the property, all cryptographically timestamped. If you have ever tried to sell a house, maintain one, or prove something to an insurer, you instantly understand how useful this is. Imagine handing a buyer a clean, verified report of every repair, every vendor, every upgrade, and every warranty. Imagine builders uploading materials and documentation during construction so the next owner knows exactly what is behind the walls. Imagine insurance claims based on truth instead of paperwork chaos. This is not a pitch deck about tokenizing real estate one day. This is infrastructure that exists right now. 3. Constellation is solving real adoption problems for Web3. No need to rebuild your business to onboard. No need to run your own nodes unless you want to. No need to become a blockchain expert. Just clean APIs, onchain trust, and applications anyone can understand. Authenticity and truth are scarce assets, Constellation (DAG) is building rails that protect them. Podcast powered by Constellation²

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🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

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Gmail creator Paul Buchheit on how to build something 100 people love In the clip below, Paul talks about how he built the first version of Gmail. The first version was built in one day, and from there, he iterated his way to 100 people who loved the product: “The whole thing was just iterating, step by step trying to build something that made people happy.” The team decided that they needed to have 100 happy users before launching gmail to the world. To achieve this, Paul embedded a quick questionnaire in the interface that asked users: “Are you happy? Yes or No” Paul would then seek out all of the “No” responders and ask them directly: “What will it take to make you a happy user?” He ignored feedback from the people who said things like “it basically needs to be a clone of Outlook” because it was unlikely he would be able to convert them. But other people just needed a minor feature or a bug fix. So Paul worked on those requests one-by-one until he hit 100 happy users. Email was 30 years old when Paul started building gmail, and it’s pretty much impossible to enter a space like that and build something that appeals to everyone. If you try, what you will end up building is a mediocre product that nobody really loves. What Paul recommends doing instead—and what he did with gmail—is: “Build a thing that has really deep appeal. Even if it’s to just a tiny fraction of people—if you can make that small fraction of people obsessively love what you’re building, it’s easier to just grow that group. There’s always people at the margin where if you make the thing slightly better, they’re going to join into that group. It’s easier to start with deep, narrow appeal and broaden it over time than it is to start with broad ‘meh’ and convert ‘meh’ to loving your thing en masse.”

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